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train · 34 rows

path stringlengths 19 43	generation float64 0.01 0.49	open_qa float64 0.16 0.71	brainstorm float64 0 0.51	rewrite float64 0.02 0.51	summarize float64 0 0.49	classify float64 0.03 0.51	closed_qa float64 0.01 0.51	extract float64 0.02 0.5	reasoning_over_numerical_data float64 0.03 0.52	multi-document_synthesis float64 0 0.6	fact_checking_or_attributed_qa float64 0.03 0.5	average float64 0.02 0.49	generation_rank int64 1 33	open_qa_rank int64 1 28	brainstorm_rank int64 1 32	rewrite_rank int64 1 32	summarize_rank int64 1 34	classify_rank int64 1 30	closed_qa_rank int64 1 34	extract_rank int64 1 32	reasoning_over_numerical_data_rank int64 1 33	multi-document_synthesis_rank int64 1 32	fact_checking_or_attributed_qa_rank int64 1 27	average_rank int64 1 34	generation_confi stringlengths 11 11	open_qa_confi stringlengths 11 11	brainstorm_confi stringlengths 11 11	rewrite_confi stringlengths 11 11	summarize_confi stringlengths 11 11	classify_confi stringlengths 11 11	closed_qa_confi stringlengths 11 11	extract_confi stringlengths 11 11	reasoning_over_numerical_data_confi stringlengths 11 11	multi-document_synthesis_confi stringlengths 11 11	fact_checking_or_attributed_qa_confi stringlengths 11 11	average_confi stringlengths 13 13
meta-llama/Llama-2-13b-chat-hf	0.179	0.343	0.245	0.191	0.307	0.249	0.24	0.22	0.125	0.104	0.198	0.1956	14	8	17	14	9	12	3	14	18	19	16	17	+3.0 / -3.1	+8.8 / -8.8	+3.4 / -3.3	+2.9 / -2.8	+6.4 / -6.4	+6.0 / -5.7	+5.9 / -5.4	+5.4 / -5.2	+2.7 / -2.7	+2.9 / -2.6	+3.6 / -3.6	+1.17 / -1.17
meta-llama/Llama-2-70b-chat-hf	0.239	0.377	0.306	0.22	0.275	0.296	0.339	0.238	0.197	0.13	0.222	0.239	14	8	14	14	9	12	3	14	12	16	8	14	+3.5 / -3.4	+9.3 / -9.3	+3.7 / -3.6	+3.1 / -3.1	+6.2 / -5.9	+6.5 / -6.0	+6.2 / -6.2	+5.2 / -5.2	+3.4 / -3.3	+3.1 / -2.9	+4.0 / -3.7	+1.28 / -1.28
meta-llama/Llama-2-7b-chat-hf	0.166	0.299	0.221	0.144	0.223	0.194	0.218	0.131	0.075	0.097	0.115	0.1538	19	8	17	20	18	23	20	22	23	19	22	20	+3.2 / -2.9	+9.3 / -8.8	+3.3 / -3.3	+2.6 / -2.4	+5.9 / -5.4	+5.5 / -5.0	+5.7 / -5.2	+4.7 / -4.2	+2.2 / -2.1	+2.6 / -2.6	+2.8 / -2.8	+1.08 / -1.03
meta-llama/Llama-3.1-70B-Instruct	0.445	0.706	0.486	0.48	0.493	0.507	0.512	0.502	0.521	0.453	0.496	0.4898	1	1	1	1	1	1	1	1	1	5	1	1	+3.8 / -3.9	+8.3 / -8.8	+4.2 / -4.1	+3.7 / -3.8	+6.7 / -6.7	+6.7 / -6.5	+6.2 / -6.4	+6.2 / -5.9	+4.0 / -4.1	+4.6 / -4.4	+4.5 / -4.5	+1.44 / -1.44
allenai/Llama-3.1-Tulu-3-70B-DPO	0.06	0.539	0.02	0.084	0.015	0.264	0.297	0.22	0.2	0.029	0.141	0.1191	23	1	26	24	27	12	3	14	12	24	16	22	+2.0 / -1.8	+9.8 / -9.8	+1.2 / -1.0	+2.1 / -2.0	+2.0 / -1.5	+6.0 / -5.7	+6.4 / -6.2	+5.7 / -5.4	+3.4 / -3.3	+1.5 / -1.3	+3.3 / -3.0	+0.94 / -0.96
allenai/Llama-3.1-Tulu-3-70B	0.448	0.456	0.504	0.434	0.364	0.45	0.354	0.399	0.439	0.53	0.319	0.4368	1	8	1	5	1	1	3	1	4	1	3	4	+4.0 / -4.0	+9.3 / -9.3	+4.0 / -4.0	+3.6 / -3.7	+6.7 / -6.7	+6.5 / -7.0	+6.4 / -6.4	+6.7 / -6.4	+4.0 / -4.1	+4.6 / -4.6	+4.3 / -4.1	+1.48 / -1.47
allenai/Llama-3.1-Tulu-3-8B	0.363	0.402	0.391	0.341	0.302	0.331	0.243	0.262	0.279	0.45	0.247	0.3354	7	8	9	9	9	12	3	5	9	5	8	8	+3.8 / -3.8	+9.8 / -9.8	+4.0 / -3.8	+3.6 / -3.5	+6.4 / -5.9	+6.5 / -6.2	+5.9 / -5.7	+6.2 / -5.9	+3.7 / -3.7	+4.4 / -4.6	+4.1 / -3.8	+1.40 / -1.41
meta-llama/Meta-Llama-3.1-8B-Instruct	0.398	0.564	0.482	0.386	0.379	0.4	0.389	0.334	0.311	0.36	0.334	0.3857	7	1	1	5	1	1	1	5	9	11	3	7	+3.8 / -3.7	+9.3 / -9.8	+4.0 / -4.0	+3.7 / -3.6	+6.9 / -6.4	+6.5 / -6.5	+6.4 / -6.7	+5.7 / -5.7	+3.7 / -3.8	+4.6 / -4.4	+4.3 / -4.2	+1.48 / -1.46
mistralai/Mistral-7B-Instruct-v0.3	0.19	0.426	0.292	0.209	0.225	0.256	0.252	0.171	0.177	0.23	0.228	0.2266	14	8	14	14	18	12	3	14	12	12	8	14	+3.2 / -3.0	+9.8 / -9.3	+3.7 / -3.7	+3.1 / -3.0	+5.9 / -5.4	+6.2 / -5.7	+6.2 / -5.9	+5.2 / -5.0	+3.3 / -3.2	+4.0 / -3.8	+3.9 / -3.8	+1.24 / -1.29
mistralai/Mistral-Large-Instruct-2407	0.492	0.471	0.513	0.51	0.485	0.47	0.307	0.426	0.452	0.6	0.43	0.4839	1	8	1	1	1	1	3	1	1	1	1	1	+4.1 / -4.0	+9.8 / -9.8	+3.9 / -3.9	+3.6 / -3.7	+6.9 / -6.9	+6.7 / -6.5	+6.2 / -5.9	+6.4 / -6.2	+4.0 / -4.0	+4.4 / -4.6	+4.4 / -4.3	+1.49 / -1.53
mistralai/Mistral-Small-Instruct-2409	0.414	0.461	0.467	0.458	0.399	0.418	0.287	0.354	0.393	0.541	0.392	0.4287	1	8	1	1	1	1	3	5	4	1	3	4	+3.9 / -4.1	+9.8 / -9.8	+4.1 / -3.9	+3.7 / -3.7	+6.7 / -6.7	+6.5 / -6.5	+6.2 / -5.9	+6.2 / -6.2	+4.1 / -3.9	+4.6 / -4.6	+4.4 / -4.5	+1.48 / -1.43
allenai/OLMo-2-1124-13B-Instruct	0.376	0.431	0.386	0.399	0.391	0.438	0.319	0.248	0.237	0.422	0.295	0.356	7	8	9	5	1	1	3	5	12	5	8	8	+4.0 / -3.9	+9.8 / -9.8	+3.9 / -3.8	+3.6 / -3.7	+6.4 / -6.4	+6.7 / -6.7	+6.4 / -6.2	+5.9 / -5.5	+3.5 / -3.5	+4.6 / -4.4	+4.3 / -4.0	+1.48 / -1.44
allenai/OLMo-2-1124-7B-Instruct	0.318	0.348	0.369	0.319	0.252	0.254	0.183	0.183	0.173	0.393	0.208	0.2849	12	8	9	9	9	12	20	14	12	5	16	12	+3.7 / -3.7	+9.3 / -8.3	+3.8 / -3.8	+3.4 / -3.4	+5.9 / -5.9	+6.0 / -5.7	+5.2 / -5.0	+5.4 / -5.0	+3.4 / -3.1	+4.4 / -4.4	+3.7 / -3.7	+1.36 / -1.35
allenai/OLMo-7B-0724-Instruct-hf	0.064	0.157	0.127	0.053	0.104	0.087	0.059	0.05	0.052	0.079	0.06	0.075	23	28	21	28	23	30	29	32	23	19	27	26	+2.0 / -1.8	+7.8 / -6.9	+2.7 / -2.7	+1.7 / -1.6	+4.5 / -4.0	+4.0 / -3.5	+3.5 / -3.0	+3.2 / -2.7	+1.9 / -1.9	+2.6 / -2.4	+2.2 / -2.1	+0.82 / -0.80
allenai/OLMo-7B-SFT	0.052	0.348	0.02	0.05	0.054	0.187	0.156	0.072	0.047	0.024	0.081	0.0661	28	8	26	28	23	23	20	22	23	24	22	26	+1.8 / -1.7	+9.3 / -9.3	+1.2 / -1.0	+1.7 / -1.6	+3.5 / -3.0	+5.2 / -5.2	+5.0 / -4.7	+3.5 / -3.2	+1.9 / -1.7	+1.5 / -1.3	+2.6 / -2.5	+0.74 / -0.72
microsoft/Phi-3-medium-4k-instruct	0.286	0.564	0.337	0.294	0.356	0.415	0.334	0.248	0.385	0.181	0.255	0.3091	12	1	14	9	9	1	3	5	4	16	8	12	+3.7 / -3.4	+9.3 / -9.3	+3.8 / -3.7	+3.4 / -3.3	+6.9 / -6.4	+6.5 / -6.5	+6.2 / -6.2	+5.7 / -5.4	+4.0 / -3.9	+3.5 / -3.5	+3.9 / -4.0	+1.33 / -1.35
Qwen/Qwen1.5-110B-Chat	0.414	0.593	0.462	0.376	0.371	0.453	0.317	0.317	0.365	0.481	0.387	0.4076	1	1	1	5	1	1	3	5	4	5	3	4	+3.9 / -3.9	+9.3 / -9.3	+3.8 / -4.0	+3.6 / -3.7	+6.4 / -6.4	+6.7 / -6.7	+6.2 / -5.9	+6.2 / -6.2	+3.8 / -3.9	+4.6 / -4.6	+4.3 / -4.4	+1.47 / -1.43
Qwen/Qwen2-72B-Instruct	0.327	0.549	0.431	0.324	0.26	0.4	0.262	0.342	0.373	0.263	0.271	0.3371	7	1	9	9	9	1	3	5	4	12	8	8	+3.8 / -3.7	+9.8 / -9.8	+4.0 / -4.2	+3.4 / -3.4	+6.2 / -5.9	+6.5 / -6.5	+5.9 / -5.7	+6.4 / -6.4	+3.9 / -4.0	+4.2 / -4.0	+4.0 / -4.0	+1.43 / -1.42
Qwen/Qwen2.5-72B-Instruct	0.454	0.49	0.503	0.454	0.431	0.468	0.285	0.433	0.452	0.603	0.4	0.4621	1	8	1	1	1	1	3	1	1	1	3	1	+3.9 / -4.0	+9.3 / -9.8	+4.1 / -4.2	+3.7 / -3.7	+6.9 / -6.9	+6.5 / -6.5	+5.9 / -5.7	+6.4 / -6.7	+4.0 / -4.0	+4.4 / -4.6	+4.4 / -4.4	+1.54 / -1.49
WizardLMTeam/WizardLM-13B-V1.2	0.163	0.353	0.231	0.186	0.213	0.266	0.243	0.146	0.11	0.132	0.141	0.179	19	8	17	14	18	12	3	14	18	16	16	17	+3.0 / -2.8	+9.3 / -9.3	+3.4 / -3.3	+2.9 / -2.9	+5.9 / -5.4	+6.0 / -5.7	+5.7 / -5.4	+5.0 / -4.5	+2.6 / -2.5	+3.3 / -3.1	+3.2 / -3.0	+1.14 / -1.14
01-ai/Yi-1.5-34B-Chat	0.353	0.446	0.489	0.297	0.282	0.391	0.275	0.267	0.307	0.417	0.299	0.351	7	8	1	9	9	1	3	5	9	5	8	8	+3.8 / -3.8	+9.3 / -9.3	+4.2 / -4.0	+3.4 / -3.3	+6.4 / -5.9	+6.7 / -6.2	+5.9 / -5.9	+5.9 / -5.7	+3.7 / -3.7	+4.4 / -4.4	+4.2 / -4.1	+1.44 / -1.40
databricks/dolly-v2-12b	0.02	0.225	0.002	0.024	0.005	0.06	0.131	0.079	0.036	0.009	0.041	0.0353	33	28	32	32	27	30	20	22	33	32	27	31	+1.2 / -1.0	+7.8 / -7.8	+0.3 / -0.2	+1.1 / -1.0	+1.0 / -0.5	+3.5 / -3.0	+4.7 / -4.5	+3.7 / -3.5	+1.7 / -1.5	+0.9 / -0.7	+1.9 / -1.7	+0.55 / -0.54
databricks/dolly-v2-7b	0.022	0.255	0.003	0.016	0	0.05	0.097	0.087	0.039	0.002	0.055	0.0344	28	28	32	32	34	30	29	22	23	32	27	31	+1.3 / -1.2	+8.8 / -7.8	+0.5 / -0.3	+1.0 / -0.9	+0.0 / -0.0	+3.5 / -2.5	+4.2 / -4.0	+4.2 / -3.7	+1.7 / -1.5	+0.4 / -0.2	+2.2 / -1.9	+0.54 / -0.55
nomic-ai/gpt4all-13b-snoozy	0.06	0.549	0.02	0.059	0.02	0.102	0.04	0.067	0.064	0.022	0.054	0.0612	23	1	26	24	27	23	29	22	23	24	27	26	+1.8 / -1.8	+9.8 / -9.8	+1.2 / -1.0	+1.7 / -1.7	+2.0 / -1.5	+4.2 / -4.0	+3.0 / -2.5	+3.5 / -3.2	+2.2 / -2.0	+1.5 / -1.3	+2.2 / -1.9	+0.72 / -0.68
TheBloke/koala-13B-HF	0.03	0.333	0.013	0.046	0.032	0.144	0.134	0.082	0.06	0.031	0.051	0.0566	28	8	26	28	27	23	20	22	23	24	27	29	+1.5 / -1.2	+9.3 / -8.8	+1.0 / -0.8	+1.6 / -1.5	+2.5 / -2.2	+5.0 / -4.5	+4.7 / -4.2	+3.7 / -3.5	+2.1 / -1.9	+1.8 / -1.5	+2.2 / -1.9	+0.69 / -0.69
TheBloke/koala-7B-HF	0.027	0.245	0.004	0.037	0.005	0.095	0.064	0.089	0.041	0.02	0.049	0.0409	28	28	26	28	27	30	29	22	23	24	27	31	+1.3 / -1.2	+8.8 / -7.8	+0.6 / -0.4	+1.4 / -1.3	+1.0 / -0.5	+4.0 / -4.0	+3.7 / -3.0	+4.0 / -3.7	+1.7 / -1.5	+1.3 / -1.1	+2.1 / -1.8	+0.59 / -0.58
mosaicml/mpt-7b-chat	0.037	0.363	0.005	0.057	0.025	0.182	0.136	0.042	0.052	0.015	0.045	0.0553	28	8	26	24	27	23	20	32	23	32	27	29	+1.7 / -1.3	+8.8 / -8.8	+0.7 / -0.5	+1.7 / -1.6	+2.5 / -2.0	+5.5 / -5.2	+4.7 / -4.5	+2.7 / -2.5	+1.9 / -1.9	+1.3 / -1.1	+2.1 / -1.7	+0.69 / -0.67
OpenAssistant/oasst-sft-1-pythia-12b	0.012	0.216	0.003	0.016	0.005	0.03	0.01	0.02	0.032	0.018	0.028	0.0218	33	28	32	32	27	30	34	32	33	24	27	34	+1.0 / -0.8	+7.8 / -7.8	+0.5 / -0.3	+1.0 / -0.9	+1.0 / -0.5	+2.5 / -2.0	+1.5 / -1.0	+2.0 / -1.5	+1.7 / -1.3	+1.3 / -1.1	+1.5 / -1.3	+0.45 / -0.42
allenai/tulu-2-dpo-13b	0.124	0.358	0.137	0.144	0.171	0.244	0.151	0.181	0.129	0.095	0.161	0.1481	19	8	21	20	18	12	20	14	18	19	16	20	+2.7 / -2.6	+9.3 / -8.8	+2.8 / -2.7	+2.6 / -2.6	+5.2 / -5.0	+6.0 / -5.7	+5.2 / -4.7	+5.2 / -5.0	+2.8 / -2.7	+2.9 / -2.6	+3.4 / -3.2	+1.05 / -1.07
allenai/tulu-2-dpo-70b	0.211	0.328	0.227	0.221	0.235	0.281	0.255	0.238	0.224	0.188	0.229	0.2267	14	8	17	14	9	12	3	5	12	12	8	14	+3.2 / -3.2	+9.3 / -8.3	+3.5 / -3.3	+3.1 / -3.0	+6.2 / -5.7	+6.0 / -6.0	+5.9 / -5.7	+5.7 / -5.4	+3.5 / -3.4	+3.8 / -3.5	+4.0 / -3.7	+1.26 / -1.22
allenai/tulu-2-dpo-7b	0.1	0.284	0.076	0.102	0.119	0.164	0.158	0.116	0.057	0.062	0.117	0.1012	23	28	23	20	23	23	20	22	23	19	22	24	+2.5 / -2.3	+8.8 / -8.8	+2.1 / -2.1	+2.3 / -2.2	+4.5 / -4.5	+5.0 / -5.0	+5.0 / -5.0	+4.5 / -4.0	+2.0 / -1.9	+2.2 / -2.2	+3.0 / -2.8	+0.92 / -0.92
allenai/tulu-v2.5-ppo-13b-uf-mean-70b-uf-rm	0.186	0.196	0.387	0.177	0.243	0.129	0.05	0.111	0.126	0.223	0.152	0.1957	14	28	9	14	9	23	29	22	18	12	16	17	+3.2 / -3.0	+7.8 / -6.9	+4.0 / -3.7	+2.9 / -2.7	+5.9 / -5.9	+4.7 / -4.5	+3.2 / -2.7	+4.2 / -4.2	+2.9 / -2.6	+4.0 / -4.0	+3.5 / -3.0	+1.20 / -1.24
lmsys/vicuna-13b-v1.5	0.11	0.49	0.075	0.129	0.134	0.224	0.25	0.173	0.11	0.049	0.137	0.1299	19	8	23	20	18	12	3	14	18	24	22	22	+2.7 / -2.5	+9.3 / -9.3	+2.2 / -2.0	+2.6 / -2.4	+5.0 / -4.5	+5.7 / -5.5	+5.9 / -5.7	+5.0 / -4.7	+2.7 / -2.6	+2.2 / -1.8	+3.0 / -3.0	+1.02 / -0.97
lmsys/vicuna-7b-v1.5	0.072	0.373	0.051	0.096	0.077	0.219	0.213	0.126	0.074	0.044	0.083	0.095	23	8	23	24	23	12	20	22	23	24	22	24	+2.2 / -2.0	+9.3 / -8.8	+1.8 / -1.7	+2.3 / -2.1	+3.7 / -3.5	+5.7 / -5.7	+5.7 / -5.7	+4.7 / -4.2	+2.3 / -2.1	+2.0 / -1.8	+2.6 / -2.4	+0.88 / -0.86

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